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Joint International Conference on Theory, data Handling and Modelling in Geospatial Information Science

作者： Ma, Xiaoyi Pei, Tao Chinese Acad Sci Inst Geog Sci & Nat Resources Res State Key Lab Resources & Environm Informat Syst Beijing 100101 Peoples R China

ISBN: (纸本)9783642259258

The unbalanced development of regional economics in Beijing has induced the ubiquitous regional economic disparities and may affect the sustainable development of economy and social stability. How to alleviate this unbalanced status has been an important issue which the society and government face. As usual, the hold of Olympics Games may boost the economy of host city, however it is not clear that the event could narrow the regional economic disparities. In order to investigate the influence of the 2008 Olympics Games for the development of regional economics in Beijing, this paper studies the space-time dynamics of economic development of Beijing since the year when Beijing won the bid (the year of 2001) using exploratory spatial data analysis (ESDA), and based on the county level and measure index of the regional per capita gross domestic product (GDP). The results show not strong evidences of global spatial autocorrelation, but clear evidences of local spatial autocorrelation and spatial heterogeneity in the distribution of regional per capita GDP. Driven by the bid winning of 2008 Olympics, the total economic disparity in Beijing had not been alleviated, and the situation got even more complicated. Since the economic increasing-speeds of Changping and Shijingshan Districts were significantly lower than their some neighbouring regions, a new centre-surrounding polarization scheme was gradually replacing the North-South polarization scheme in Beijing from 2001 to 2007.

关键词： Regional Economy The Olympic Games exploratory spatial data analysis GIS spatial Autocorrelation spatial Heterogeneity

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exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995

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PAPERS IN REGIONAL SCIENCE 2003年第2期82卷 175-201页

作者： Le Gallo, J Ertur, C Univ Burgundy CNRS UMR 5118 LATEC F-21066 Dijon France

The aim of this paper is to study the space-time dynamics of European regional per capita GDP. A sample of 138 European regions over the 1980-1995 period provides clear evidence of global and local spatial autocorrelation as well as spatial heterogeneity in the distribution of regional per capita GDP. The detection of spatial clusters of high and low per capita GDP throughout the period is an indication of the persistence of spatial disparities among European regions. The dynamism of European regions is investigated by exploring the spatial pattern of regional growth. Implications for applied econometric work on the convergence of European regions are then suggested.

关键词： European Union exploratory spatial data analysis regional disparities spatial autocorrelation spatial heterogeneity

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exploratory spatial data analysis of ISO 9001 certification trends and innovation performance in South America 5

Exploratory Spatial Data Analysis of ISO 9001 certification ...

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5th International Conference on Quality Engineering and Management: A Better World with Quality! Quality in the Digital Transformation, ICQEM 2022

作者： Sordan, J.E. Oprime, P.C. Condé, G.C.P. Bueno, C.R. Pimenta, M.L. Federal University of São Carlos – UFSCar Brazil Federal University of Uberlândia – UFU Brazil

ISBN: (纸本)9789895491117

Purpose – The present paper aims to present an exploratory spatial data analysis (ESDA) of ISO 9001 certification trends and innovation performance in order to identify geographic patterns and spatial autocorrelation between performance innovation and annual growth rate of ISO 9001 certificates in South America. Design/methodology/approach – Using secondary data regarding the number of ISO 9001 valid certificates and innovation indexes, our methodological procedure combines descriptive analysis and ESDA to verify spatial autocorrelation hypotheses and spill-over effects across countries. Findings – The results reveal spatial patterns regarding the ISO 9000 certification trends in South American countries. The ESDA results call attention to the association of annual growth rate of ISO 9001 certificates with gross capital formation, expenditure on education, and high-tech manufacturing. In addition, the study points to spatial clusters regarding these measures. Research limitations/implications - As the study relies on South American country data, future research should explore spatial patterns and spill-over effects using samples from other regions or continents. Practical implications - This study discusses the association between ISO 9001 Quality Management Systems (QMS) and innovation performance from a geographic perspective. Moreover, the findings indicate associations between the demand for ISO 9001 certificates and innovation performance indicators. Originality/value – This paper presents an exploratory study regarding the effect of innovation performance and ISO 9001 QMS certification in South American countries using ESDA techniques. © 2022 Universidade do Minho. All rights reserved.

关键词： exploratory spatial data analysis ISO 9001 Quality Management

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Study on the evolution of B&Bs spatial distribution based on exploratory spatial data analysis (ESDA) and its influencing factors-with Yangtze River Delta as an example

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EUROPEAN JOURNAL OF REMOTE SENSING 2021年第Supp 2期54卷 296-308页

作者： Qiu, Yishu Zhu, Zhenmin Huang, Heping Bing, Zhenhua Shanghai Business Sch Sch Hotel Management Shanghai 201400 Peoples R China

In the "era of sharing economy 2.0", China's B&Bs industry enjoys rapid development as a new business format, boosting regional economy to reach a new height. This paper selects the Yangtze River Delta region, China's largest economic zone, as the research area, and takes exploratory spatial data analysis (ESDA) and GIS to study the agglomeration characteristics and evolutionary trajectories of B&Bs spatial patterns amid 2013-2017. The results indicate that: (1) B&Bs in the Yangtze River Delta region exhibit balanced development. (2) From the perspective of global spatial autocorrelation analysis, B&Bs spatial distribution features significant spatial autocorrelation, with spatial agglomeration degree on the rise. (3) From the perspective of local spatial autocorrelation analysis, it gradually shows a gradual decreasing pattern from the east to the west, forming a significant high concentration of eastern cities and a low concentration of western cities. By comparing the results of the 3 years, Huzhou and Shanghai showed a significant high concentration from 2013 to 2015, and neighboring cities such as Suzhou, Jiaxing and Hangzhou have shown a high approaching trend, indicating that in recent years, the development awareness of the industry is converging. (4) The four factors: endowment of tourism resources, transportation convenience, policy conditions and residents' living standards exert important influences on B&Bs spatial distribution.

关键词： exploratory spatial data analysis Yangtze River Delta region B&Bs spatial distribution

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A comprehensive framework for exploratory spatial data analysis:Moran location and variance scatterplots

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International Journal of Digital Earth 2010年第2期3卷 157-186页

作者： J.G.Negreiros M.T.Painho F.J.Aguilar M.A.Aguilar Institute of Statistics and Information Management New University of LisbonCampus de CampolideLisbon 1070-312Portugal Department of Agricultural Engineering Almerı´a UniversityAlmeria 04120Spain

A significant Geographic Information Science(GIS)issue is closely related to spatial autocorrelation,a burning question in the phase of information extraction from the statistical analysis of georeferenced *** present,spatial autocorrelation presents two types of measures:continuous and *** it possible to use Moran’s I and the Moran scatterplot with continuous data?Is it possible to use the same methodology with discrete data?A particular and cumbersome problem is the choice of the spatial-neighborhood matrix(W)for points *** paper addresses these issues by introducing the concept of covariogram contiguity,where each weight is based on the variogram model for that particular dataset:(1)the variogram,whose range equals the distance with the highest Moran I value,defines the weights for points separated by less than the estimated range and(2)weights equal zero for points widely separated from the variogram range *** the W matrix is computed,the Moran location scatterplot is created in an iterative *** accordance with various lag distances,Moran’s I is presented as a good search factor for the optimal neighborhood ***/transition regions are also *** the same time,a new exploratory spatial data analysis(ESDA)tool is developed,the Moran variance scatterplot,since the conventional Moran scatterplot is not sensitive to neighbor *** computer-mapping framework allows the study of spatial patterns,outliers,changeover areas,and trends in an ESDA *** these tools were implemented in a free web e-Learning program for quantitative geographers called SAKWeb#(or,in the near future,***).

关键词： geocomputation exploratory spatial data analysis spatial autocorrelation Moran scatterplot Moran’s I variography

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Cartographic visualization: exploratory spatial data analysis with local indicators of spatial association using Tcl/Tk and cdv

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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN 1998年第3期47卷 485-497页

作者： Dykes, J Univ Leicester Dept Geog Leicester LE1 7RH Leics England

cdv, a cartographic data visualizer, is a piece of demonstration software designed for research and teaching. It uses established symbolism techniques for displaying spatially referenced information, and adds newer dynamic capabilities that are suitable for exploratory spatial data analysis (ESDA). The software takes advantage of the symbolism, dynamism and inherent spatial information afforded by the Tcl/Tk language and comprises interpreted scripts which provide a flexible environment for prototyping and extension. This introduction to the software and approach outlines some of the rationale behind the development and contains an overview of the cartographic and statistical ESDA functionality. The distributed scripts produce concurrent linked views of enumerated data sets. Views are available for statistical and geographic visualization of univariate, bivariate and multivariate distributions. These include dotplots, scatterplots, polygon maps, population cartograms and parallel cc-ordinates plots. Each view is extremely dynamic so that transient maps can be produced to highlight specific cases and to focus on points of interest to suit the researcher. The ideas are applied to procedures for determining locality and assessing the characteristics of local variation, and some examples of dynamic graphical local indicators are provided. The examples and images provide a flavour of the approach and the dynamic and flexible nature of the software. One of the advantages of the approach is that, as the software is free and accessible on the Internet, the author is not restricted to static black-and-white graphics for communicating dynamic colourful ideas. Larger colour versions of the images can be downloaded to support the paper.

关键词： cartography exploratory spatial data analysis flexibility local indicators of spatial association scripting visualization

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exploratory spatial data analysis for the identification of risk factors to birth defects

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BMC PUBLIC HEALTH 2004年第1期4卷 23-23页

作者： Wu, JL Wang, JF Meng, B Chen, G Pang, LH Song, XM Zhang, KL Zhang, T Zheng, XY Peking Univ Inst Populat Res Beijing 100871 Peoples R China CAS Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China Beijing Normal Univ Dept Resources & Environm Beijing 100875 Peoples R China Capital Inst Pediat Beijing 100020 Peoples R China

Background: Birth defects, which are the major cause of infant mortality and a leading cause of disability, refer to "Any anomaly, functional or structural, that presents in infancy or later in life and is caused by events preceding birth, whether inherited, or acquired (ICBDMS)". However, the risk factors associated with heredity and/or environment are very difficult to filter out accurately. This study selected an area with the highest ratio of neural-tube birth defect (NTBD) occurrences worldwide to identify the scale of environmental risk factors for birth defects using exploratory spatial data analysis methods. Methods: By birth defect registers based on hospital records and investigation in villages, the number of birth defects cases within a four-year period was acquired and classified by organ system. The neural-tube birth defect ratio was calculated according to the number of births planned for each village in the study area, as the family planning policy is strictly adhered to in China. The Bayesian modeling method was used to estimate the ratio in order to remove the dependence of variance caused by different populations in each village. A recently developed statistical spatial method for detecting hotspots, Getis's [7], was used to detect the high-risk regions for neural-tube birth defects in the study area. Results: After the Bayesian modeling method was used to calculate the ratio of neural-tube birth defects occurrences, Getis's statistics method was used in different distance scales. Two typical clustering phenomena were present in the study area. One was related to socioeconomic activities, and the other was related to soil type distributions. Conclusion: The fact that there were two typical hotspot clustering phenomena provides evidence that the risk for neural-tube birth defect exists on two different scales (a socioeconomic scale at 6.84 km and a soil type scale at 22.8 km) for the area studied. Although our study has limited spatial exploratory

关键词： Birth Defect Environmental Risk Factor exploratory spatial data analysis Family Planning Policy Occurrence Ratio

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An empirical study on transit-oriented low-carbon urban land use planning: exploratory spatial data analysis (ESDA) on Shanghai, China

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HABITAT INTERNATIONAL 2016年 53卷 379-389页

作者： Dou, Yi Luo, Xiao Dong, Liang Wu, Chuntao Liang, Hanwei Ren, Jingzheng Natl Inst Environm Studies Ctr Social & Environm Syst Res 16-2 Onogawa Tsukuba Ibaraki 3058506 Japan Tongji Univ Coll Architecture & Urban Planning 1239 Siping Rd Shanghai 200092 Peoples R China Shanghai Tongji Urban Planning & Design Inst 1111 North Zhongshan Rd Shanghai Peoples R China Leiden Univ CML Leiden Netherlands Nanjing Univ Informat Sci & Technol Sch Geog & Remote Sensing Nanjing 210044 Jiangsu Peoples R China Sichuan Univ Sch Tourism 2 South SectYihuan Rd Chengdu 610064 Peoples R China Univ Southern Denmark Dept Technol & Innovat Campusvej 55 DK-5230 Odense M Denmark

Low-carbon urban development is a hot spot of global concerns for fighting against climate change for China, transportation sector has a significant contribution to urban CO2 emissions, while the emissions are still increasing. Transit-Oriented Development (TOD) strategies provide a novel approach for urban planners to facilitate the urban carbon mitigation from transportation sector in long-term. While TOD strategies are emerging cases, they are merely qualitatively discussed in China, lacking practical indicators and quantitative verification for supporting the real urban plan. With such circumstance, this study aims to conduct an empirical and quantitative study on the applications of TOD strategy in Shanghai based on exploratory spatial data analysis (ESDA) and the updating data. Firstly, the changes of urban morphology were quantitatively analyzed by spatial cluster analysis, which reveals the layer structure changes and residents migration at about 1 km accuracy. Secondly, accessibility was selected as an indicator for urban transportation and estimated by method based on Time Cost Weighted Distance. Finally, the effectiveness of TOD was investigated by evaluating the integration between population and transportation accessibility with Geographic Weighted Regression model. Results highlight that TOD can effectively improve the transportation network with higher accessibility and lower urban carbon emissions. The outcomes of this study provide critical insights to the recent practice in Shanghai, as well as the practical guidance to low carbon urban planning in developing countries. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： TOD Low carbon urban planning exploratory spatial data analysis Accessibility China

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An exploratory spatial data analysis approach to understanding the relationship between deprivation and mortality in Scotland

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SOCIAL SCIENCE & MEDICINE 2007年第9期65卷 1942-1952页

作者： Sridharan, Sanjeev Tunstall, Helena Lawder, Richard Mitchell, Richard Univ Edinburgh Edinburgh Midlothian Scotland MRC Glasgow Lanark Scotland

This paper considers the spatial characteristics of the relationship between deprivation and mortality rates in Scotland. Scotland not only has higher average mortality rates than England and Wales but the greatest spatial concentrations of the poorest health areas in Britain. Recent analysis has suggested that degree of deprivation alone cannot explain the majority of Scotland's 'excess' poor health relative to England and Wales, a finding referred to as the 'Scottish effect'. This analysis considers if the spatial patterning of deprivation could be significant to understanding of high mortality in Scotland. exploratory spatial data analysis methods are implemented to study the spatial relationships between deprivation and standardised mortality ratios (SMRs) in post-code sectors in Scotland. Deprivation was measured using the 2001 Carstairs score, and the total number of deaths during a 3-year period around the 2001 census was used to calculate SMRs. A strong spatial relationship is observed between deprivation and mortality. Deprivation impacts mortality levels not only within the same areas but also in spatially proximate areas. It is concluded that, further research on the 'Scottish effect' can benefit from new methodological approaches which assess the variation in both the extent and spatial arrangement of deprivation and mortality in small areas. (C) 2007 Published by Elsevier Ltd.

关键词： deprivation mortality rates exploratory spatial data analysis Scottish effect Scotland UK

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Cluster identification A joint application of industry concentration analysis and exploratory spatial data analysis (ESDA)

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COMPETITIVENESS REVIEW 2019年第4期29卷 401-415页

作者： Manzini, Reinaldo Belickas Luiz, Di Serio Carlos Escola Super Propaganda & Mkt Dept Management Sao Paulo Brazil Fundacao Getulio Vargas Sch Business Adm Sao Paulo Brazil

Purpose This paper aims to contribute to the approaches based on traditional industry concentration statistics for identifying clusters by complementing them with the techniques of exploratory spatial data analysis (ESDA). Design/methodology/approach Using a sample with 34,500 observations retrieved from the social information annual report released by Brazil Ministry of Labor and Employment, the methodology was designed to make a comparison between the application of industry concentration statistics and ESDA statistics. Findings As the results show, the geographic distribution measures proved to be fundamental for longitudinal studies on regional dynamics and industrial agglomerations, and the local indicator of spatial association statistic tends to overcome the limitation of the industry concentration approach. Research limitations/implications - In the period considered, due to economic, structural and circumstantial questions, activities linked to the transformation industry have been losing ground in the value creation process in Brazil. In this sense, the study of other industries may generate other types of insights that should be considered in the process of regional development. Originality/value This paper offers a critical analysis of empirical approaches and methodological advances with an emphasis on the treatment of special effects: spatial dependence, spatial heterogeneity and spatial scale. However, the regional dynamic presents a temporal dimension and a spatial dimension. The role of space has increasingly attracted attention in the analysis of economic changes. This work has identified opportunities for incorporating spatial effects in regional analysis over time.

关键词： Clusters exploratory spatial data analysis Industry concentration analysis

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